A section overviewing the data, perhaps? Here we just are viewing the first 1,000 rows of ggplot2::diamonds with package DT.
Time to shine! Here are some sample figures.
Hoehne, Christopher. (2020). https://github.com/cghoehne.
Holtz, Yan. (2018). “Pimp my RMD: a few tips for R Markdown.” https://holtzy.github.io/Pimp-my-rmd/.
sessionInfo()
## R version 4.0.3 (2020-10-10)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 8.1 x64 (build 9600)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_United States.1252
## [2] LC_CTYPE=English_United States.1252
## [3] LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United States.1252
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] scales_1.1.1 hexbin_1.28.1 ggplot2_3.3.2 DT_0.16
## [5] data.table_1.13.2 here_0.1
##
## loaded via a namespace (and not attached):
## [1] highr_0.8 compiler_4.0.3 pillar_1.4.7 tools_4.0.3
## [5] digest_0.6.27 jsonlite_1.7.2 evaluate_0.14 lifecycle_0.2.0
## [9] tibble_3.0.4 gtable_0.3.0 lattice_0.20-41 pkgconfig_2.0.3
## [13] rlang_0.4.9 crosstalk_1.1.0.1 yaml_2.2.1 xfun_0.19
## [17] withr_2.3.0 stringr_1.4.0 dplyr_1.0.2 knitr_1.30
## [21] generics_0.1.0 htmlwidgets_1.5.3 vctrs_0.3.6 rprojroot_1.3-2
## [25] grid_4.0.3 tidyselect_1.1.0 glue_1.4.2 R6_2.5.0
## [29] rmarkdown_2.6 farver_2.0.3 purrr_0.3.4 magrittr_2.0.1
## [33] backports_1.2.0 htmltools_0.5.0 ellipsis_0.3.1 colorspace_2.0-0
## [37] labeling_0.4.2 stringi_1.5.3 munsell_0.5.0 crayon_1.3.4
A work by Chris Hoehne
christopher.g.hoehne@gmail.com